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Your ad blocker could fit behind your router. meet ESP32-C3 AdBlock, an open-source DIY DNS ad blocker by ZedAxis, built around a roughly $2 ESP32-C3 Super Mini board inside: 400 KB of RAM, 4 MB of flash, built-in Wi-Fi and a USB adapter, tucked into a printed case no... show more

Psalter

1,641 subscribers

691,976 görüntüleme • 3 gün önce •via X (Twitter)

Eğitim Sağlık & İyilik Bilim & Teknoloji

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Tomas Copelo profil fotoğrafı

Tomas Copelo3 gün önce

Just buy a router with it

🍓🍓🍓Hans Leblanc, M.A./J.D., PhD profil fotoğrafı

🍓🍓🍓Hans Leblanc, M.A./J.D., PhD3 gün önce

Youtube ads in video?

Sad Phở 🥲🍜 profil fotoğrafı

Sad Phở 🥲🍜3 gün önce

@grok compare this to @The_Pi_Hole

ً profil fotoğrafı

ً3 gün önce

or i could just use my unbound block lists

Alberto Saucedo profil fotoğrafı

Alberto Saucedo3 gün önce

And where do I buy it?

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Psalter

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STOP DOWNLOADING LLMS YOUR MACHINE WAS NEVER GOING TO RUN LLMFIT is a new open-source tool that scans your hardware first, then tells you exactly which models will actually run well on your setup. It inspects: → RAM → CPU → GPU(s) → VRAM / unified memory Then it scores every model across four dimensions: → quality, based on parameter count and quantization → speed, estimating tokens per second for your exact backend → fit, matching memory usage to your hardware → context window support for your use case Each model then gets a clear label: Perfect, Good, Marginal, or Too Tight. It also picks the best quantization automatically, stepping down until something fits instead of leaving you to guess GGUF sizes by hand. Coverage is broad too! 100's of models from Meta, Mistral, Qwen, DeepSeek, and more. It works with Ollama, llama.cpp, MLX, and LM Studio out of the box. And that’s not even it! There’s also a lightweight TUI, a web dashboard, and REST API endpoints if you want to plug it into orchestrators or deployment pipelines. This should be step zero before every local model download :) 100% free and open-source. macOS, Linux, and Windows. Repo in 🧵↓

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🚨 Electrical engineers are going to hate this. Someone just turned React into a circuit board factory. Write code. Get a real PCB manufactured and delivered to your door. It's called tscircuit. React for Electronics. No Altium. No $10,000/year licenses. No 6-month learning curve. You write React components. But instead of and , you write , , and . The same way you build a website. That's how you build a circuit board now. Here's what this thing actually does: → Design real circuit boards using TypeScript and React → Edit code in your IDE, watch the circuit update in real time → Auto-generates schematics, PCB layouts, and 3D previews from your code → Automatic part selection and bill of materials generation → Built-in autorouting algorithm for PCB traces → Export to Gerber files and send directly to a manufacturer → Online playground. Design circuits in your browser right now. Here's the wildest part: The creator wrote 40 lines of TypeScript. From that he got a full PCB, a schematic, and a 3D preview. Then he exported it, sent it to a manufacturer, and got a real working circuit board delivered. 40 lines of code. A real physical product. This is free. Write React. Get hardware. $20K+ in bounties already paid to contributors. 8 years in the making. 100% Open Source. MIT License.

Nav Toor

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YOUR HOMELAB IS USELESS IF YOU CAN'T REACH IT FROM ANYWHERE - AND YOU SHOULD NEVER OPEN A PORT TO DO IT. that clip is a homelab in a tiny rack: cheap used mini-pcs running a proxmox cluster with ollama for local ai. but the hardware isn't the hard part. reaching it safely when you're not home is. the wrong way: forward a port on your router. now your services face the whole internet, and every bot on earth starts knocking. the right way, and what he's running: a mesh vpn like twingate, netbird or tailscale. it builds a private encrypted network between your devices and the lab. no open ports, no public ip, nothing exposed. your phone in a cafe talks to your proxmox box at home like they're on the same wifi, and the internet sees nothing. that's the piece that turns a pile of mini-pcs into infrastructure you actually use. no port forwarding, no exposed dashboard, no public attack surface. the uncomfortable part isn't building the lab. it's that most people either can't reach it, or reach it by leaving the front door wide open. follow RetroChainer for the homelab step everyone skips, and bookmark this before you forward a single port.

RetroChainer

58,500 görüntüleme • 1 ay önce

I just built a Reddit research agent in Claude Code that turns real customer complaints into ad angles 🤯 It scrapes the threads where people actually rant about your category, reads every post and comment, and hands you back a dashboard of pain points, exact customer phrases, and ready-to-test ad angles. All inside Claude Code. Perfect for DTC brands and agencies who want ad angles pulled from real customer language, not guessed in a vacuum. Reddit is the most honest focus group on earth. People say things there they'd never put in a survey or a review with a brand watching. So if you're writing hooks off your own assumptions — or digging through Reddit by hand, opening tab after tab, pasting quotes into a doc... This agent runs the entire loop: → Give it a product or category + a couple of subreddits → It searches Reddit for the threads where people actually discuss the problem → Pulls every post and comment → Claude reads all of it and finds the patterns → Builds a dashboard: pain points, desires, objections, and swipe-worthy phrases No manual scrolling. No pasting quotes into docs. No guessing what your customers actually care about. What you get: → Ranked customer pain points, each with a real verbatim quote → The exact language your customers use, ready to drop into ad copy → Objections and buying triggers pulled straight from the threads → 8-10 ready-to-test ad angles built from all of it Built 100% in Claude Code. Want the skill file for free? > Like this post > Comment "REDDIT" And I'll send it over (must be following so I can DM)

Mike Futia

46,254 görüntüleme • 3 ay önce

The corporate system wants you trading time for a paycheck. The alternative is building automated leverage. You do not need a team of engineers. You just need the right open-source architecture. Here are 10 GitHub repos to automate your workflows, replace manual labor, and direct your own reality: 1. n8n Bypass expensive SaaS subscriptions. Build custom AI automation workflows that run on your own servers. 2. Ollama Stop sending your private data to massive API providers. Run heavy AI models locally on your own machine. Complete privacy. 3. Open Interpreter Let language models control your computer. Automate the repetitive corporate tasks they pay you to do manually. 4. Aider An AI pair programmer that lives in your terminal. Stop writing boilerplate code and focus strictly on the architecture. 5. Dify An open-source LLM app development platform. Build and deploy functional AI agents in minutes, not months. 6. Flowise A drag-and-drop UI to build customized LLM flows. You do not need to be a senior developer to build massive leverage. 7. Supabase Spin up a Postgres database, authentication, and instant APIs. Own your backend entirely. 8. Auto-GPT Give an AI an objective and let it execute. It browses the web, writes code, and chains thoughts together autonomously. 9. Outline An open-source knowledge base for your personal leverage. Stop losing your documentation in arbitrary corporate systems. 10. NocoDB Turn any database into a smart spreadsheet. Keep your data on your own infrastructure and stop paying for convenience. The secret to tech survival? Stop playing by their rules. Build your own systems and take your leverage with you.

The corporate system wants you trading time for a paycheck. The alternative is building automated leverage. You do not need a team of engineers. You just need the right open-source architecture. Here are 10 GitHub repos to automate your workflows, replace manual labor, and direct your own reality: 1. n8n Bypass expensive SaaS subscriptions. Build custom AI automation workflows that run on your own servers. 2. Ollama Stop sending your private data to massive API providers. Run heavy AI models locally on your own machine. Complete privacy. 3. Open Interpreter Let language models control your computer. Automate the repetitive corporate tasks they pay you to do manually. 4. Aider An AI pair programmer that lives in your terminal. Stop writing boilerplate code and focus strictly on the architecture. 5. Dify An open-source LLM app development platform. Build and deploy functional AI agents in minutes, not months. 6. Flowise A drag-and-drop UI to build customized LLM flows. You do not need to be a senior developer to build massive leverage. 7. Supabase Spin up a Postgres database, authentication, and instant APIs. Own your backend entirely. 8. Auto-GPT Give an AI an objective and let it execute. It browses the web, writes code, and chains thoughts together autonomously. 9. Outline An open-source knowledge base for your personal leverage. Stop losing your documentation in arbitrary corporate systems. 10. NocoDB Turn any database into a smart spreadsheet. Keep your data on your own infrastructure and stop paying for convenience. The secret to tech survival? Stop playing by their rules. Build your own systems and take your leverage with you.

Katyayani Shukla

16,964 görüntüleme • 5 ay önce

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Atai Barkai

299,864 görüntüleme • 1 yıl önce

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

395,236 görüntüleme • 6 ay önce